A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare records. Data extraction spreadsheet
Cleary, F
, Prieto-Merino, D
and Nitsch, D
(2022).
A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare records. Data extraction spreadsheet.
[Dataset].
PLOS ONE.
https://doi.org/10.1371/journal.pone.0264167.s008
Data extraction spreadsheet associated with "A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare records".
Keywords
Chronic kidney disease; Renal system; Medical risk factors; Creatinine; Electronic medical records; Kidneys; Statistical methods; Statistical dataItem Type | Dataset |
---|---|
Resource Type |
Resource Type Resource Description Dataset Quantitative |
Capture method | Compilation/Synthesis, Summary |
Date | 29 July 2022 |
Language(s) of written materials | English |
Creator(s) |
Cleary, F |
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 22 Aug 2022 08:37 |
Last Modified | 22 Aug 2022 08:37 |
Publisher | PLOS ONE |
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- Data record - Figshare (Data)
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- Data record - Figshare (Data)
- Data download – Figshare (Online Data Resource)
ORCID: https://orcid.org/0000-0001-8401-2305
ORCID: https://orcid.org/0000-0001-5001-0061
ORCID: https://orcid.org/0000-0001-5767-248X